Please use this identifier to cite or link to this item:
|Title:||Self-tuning PID controller designs for multivariable systems|
|Citation:||Yang, X.,Kansha, Y.,Chiu, M.-S. (2009). Self-tuning PID controller designs for multivariable systems. ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings : 4195-4199. ScholarBank@NUS Repository.|
|Abstract:||In this paper, a self-tuning decentralized PID controller is developed to multivariable and nonlinear systems, using just-in-time learning (JITL) technique. From the online process data, JITL provides a set of linear models, by which the parameters of PID controllers are adjusted by a self-tuning algorithm derived from the Lyapunov method such that the predicted tracking error converges asymptotically. Simulation results illustrate the performances of the proposed self-tuning PID controller and a comparison with its conventional counterparts is made. © 2009 SICE.|
|Source Title:||ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 29, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.